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Thinking Big Data In Geography


Thinking Big Data In Geography
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Thinking Big Data In Geography


Thinking Big Data In Geography
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Author : Jim Thatcher
language : en
Publisher: U of Nebraska Press
Release Date : 2018-04

Thinking Big Data In Geography written by Jim Thatcher and has been published by U of Nebraska Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04 with Science categories.


Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.



Thinking Big Data In Geography


Thinking Big Data In Geography
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Author : Jim Thatcher
language : en
Publisher: U of Nebraska Press
Release Date : 2018-04-01

Thinking Big Data In Geography written by Jim Thatcher and has been published by U of Nebraska Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-01 with Social Science categories.


Intro -- Title Page -- Copyright Page -- Contents -- List of Illustrations -- List of Tables -- Introduction -- Part 1 -- 1. Toward Critical Data Studies -- 2. Big Data ... Why (Oh Why?) This Computational Social Science? -- Part 2 -- 3. Smaller and Slower Data in an Era of Big Data -- 4. Reflexivity, Positionality, and Rigor in the Context of Big Data Research -- Part 3 -- 5. A Hybrid Approach to Geotweets -- 6. Geosocial Footprints and Geoprivacy Concerns -- 7. Foursquare in the City of Fountains -- Part 4 -- 8. Big City, Big Data -- 9. Framing Digital Exclusion in Technologically Mediated Urban Spaces -- Part 5 -- 10. Bringing the Big Data of Climate Change Down to Human Scale -- 11. Synergizing Geoweb and Digital Humanitarian Research -- Part 6 -- 12. Rethinking the Geoweb and Big Data -- Bibliography -- List of Contributors -- Index -- About Jim Thatcher -- About Josef Eckert -- About Andrew Shears



Seeing Cities Through Big Data


Seeing Cities Through Big Data
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Author : Piyushimita (Vonu) Thakuriah
language : en
Publisher: Springer
Release Date : 2016-10-07

Seeing Cities Through Big Data written by Piyushimita (Vonu) Thakuriah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-07 with Science categories.


This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.



Big Data Computing For Geospatial Applications


Big Data Computing For Geospatial Applications
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Author : Zhenlong Li
language : en
Publisher:
Release Date : 2020

Big Data Computing For Geospatial Applications written by Zhenlong Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.



Big Data


Big Data
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Author : Hassan A. Karimi
language : en
Publisher: CRC Press
Release Date : 2014-02-18

Big Data written by Hassan A. Karimi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-18 with Mathematics categories.


Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef



Big Data Applications In Geography And Planning


Big Data Applications In Geography And Planning
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Author : Mark Birkin
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-05-28

Big Data Applications In Geography And Planning written by Mark Birkin and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Social Science categories.


This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge.



Big Data And Human Environment Systems


Big Data And Human Environment Systems
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Author : Steven M. Manson
language : en
Publisher: Cambridge University Press
Release Date : 2023-01-31

Big Data And Human Environment Systems written by Steven M. Manson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-31 with Business & Economics categories.


The first comprehensive treatment of data science as a new and powerful way to understand and manage human-environment interactions.



Uncertainty And Context In Giscience And Geography


Uncertainty And Context In Giscience And Geography
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Author : Yongwan Chun
language : en
Publisher: Routledge
Release Date : 2021-05-13

Uncertainty And Context In Giscience And Geography written by Yongwan Chun and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-13 with Science categories.


Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data – including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) – inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.



New Thinking In Giscience


New Thinking In Giscience
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Author : Bin Li
language : en
Publisher: Springer Nature
Release Date : 2022-06-30

New Thinking In Giscience written by Bin Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Computers categories.


This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.



The Data Revolution


The Data Revolution
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Author : Rob Kitchin
language : en
Publisher: SAGE
Release Date : 2014-09-16

The Data Revolution written by Rob Kitchin and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-16 with Social Science categories.


"Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution in how we think about data." - Evelyn Ruppert, Goldsmiths, University of London "Deconstructs the hype around the ‘data revolution’ to carefully guide us through the histories and the futures of ‘big data.’ The book skilfully engages with debates from across the humanities, social sciences, and sciences in order to produce a critical account of how data are enmeshed into enormous social, economic, and political changes that are taking place." - Mark Graham, University of Oxford Traditionally, data has been a scarce commodity which, given its value, has been either jealously guarded or expensively traded. In recent years, technological developments and political lobbying have turned this position on its head. Data now flow as a deep and wide torrent, are low in cost and supported by robust infrastructures, and are increasingly open and accessible. A data revolution is underway, one that is already reshaping how knowledge is produced, business conducted, and governance enacted, as well as raising many questions concerning surveillance, privacy, security, profiling, social sorting, and intellectual property rights. In contrast to the hype and hubris of much media and business coverage, The Data Revolution provides a synoptic and critical analysis of the emerging data landscape. Accessible in style, the book provides: A synoptic overview of big data, open data and data infrastructures An introduction to thinking conceptually about data, data infrastructures, data analytics and data markets Acritical discussion of the technical shortcomings and the social, political and ethical consequences of the data revolution An analysis of the implications of the data revolution to academic, business and government practices